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Databricks Databricks-Certified-Data-Analyst-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Analyzing Queries	15%	- Query Analysis 1. Reading Query Plans 2. Monitoring Query Execution 3. Performance Tuning
Topic 2: Executing Queries Using Databricks SQL and SQL Warehouses	20%	- SQL Querying 1. Joins and Subqueries 2. Query Optimization 3. Filtering and Aggregation 4. SQL Warehouses 5. Writing SQL Queries
Topic 3: Securing Data	8%	- Security and Access Control 1. Permissions and Roles 2. Unity Catalog Security 3. Data Access Policies
Topic 4: Data Modeling with Databricks SQL	5%	- Modeling Concepts 1. Views and Relationships 2. Fact and Dimension Tables 3. Data Organization
Topic 5: Understanding of Databricks Data Intelligence Platform	11%	- Catalog and Governance 1. Views and Certified Tables 2. Data Lineage 3. Catalogs and Schemas 4. Managed and External Tables - Platform Components 1. Mosaic AI 2. Delta Lake 3. Unity Catalog 4. Lakeflow Jobs 5. Databricks SQL
Topic 6: Importing Data	5%	- Data Import 1. Loading CSV and JSON Data 2. Uploading Files 3. Creating Tables from Imported Data
Topic 7: Managing Data	8%	- Data Management 1. Discovering Data Assets 2. Tagging and Lineage 3. Cleaning Data with SQL 4. Handling Missing and Invalid Data
Topic 8: Developing AI/BI Genie Spaces	12%	- AI and BI Features 1. Workspace Configuration 2. AI/BI Genie 3. Natural Language Queries
Topic 9: Creating Dashboards and Visualizations	16%	- Visualization 1. Alerts and Filters 2. Dashboards 3. Sharing and Publishing 4. Charts and Graphs

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Databricks Certified Data Analyst Associate Exam Sample Questions (Q63-Q68):

NEW QUESTION # 63
A data analyst wants the following output:
customer_name number_of_orders
John Doe 388
Zhang San 234
Which statement will produce this output?

A. SELECT customer_name, count(order_id) number_of_orders
FROM customers
JOIN orders
ON customers.customer_id = orders.customer_id USE customer_name;
B. SELECT customerjiame, count(order_id)
FROM customers
JOIN orders
ON customers.customer_id = orders.customer_id GROUP BY customerjiame;
C. SELECT customerjiame, (order_id) number_of_orders
FROM customers
JOIN orders
ON customers.customer_id = orders.customer_id;
D. SELECT customer_name, count(order_id) AS number_of_orders
FROM customers
JOIN orders
ON customers.customer_id = orders.customer_id
GROUP BY customer_name;

Answer: D

NEW QUESTION # 64
A data organization has a team of engineers developing data pipelines following the medallion architecture using Delta Live Tables. While the data analysis team working on a project is using gold-layer tables from these pipelines, they need to perform some additional processing of these tables prior to performing their analysis.
Which of the following terms is used to describe this type of work?

A. Data enhancement
B. Last-mile ETL
C. Data blending
D. Last-mile
E. Data testing

Answer: B

Explanation:
Last-mile ETL is the term used to describe the additional processing of data that is done by data analysts or data scientists after the data has been ingested, transformed, and stored in the lakehouse by data engineers. Last-mile ETL typically involves tasks such as data cleansing, data enrichment, data aggregation, data filtering, or data sampling that are specific to the analysis or machine learning use case. Last-mile ETL can be done using Databricks SQL, Databricks notebooks, or Databricks Machine Learning. Reference: Databricks - Last-mile ETL, Databricks - Data Analysis with Databricks SQL

NEW QUESTION # 65
A stakeholder has provided a data analyst with a lookup dataset in the form of a 50-row CSV file. The data analyst needs to upload this dataset for use as a table in Databricks SQL.
Which approach should the data analyst use to quickly upload the file into a table for use in Databricks SOL?

A. Create a table by uploading the file using the Create page within Databricks SQL
B. Create a table via a connection between Databricks and the desktop facilitated by Partner Connect.
C. Create a table by uploading the file to cloud storage and then importing the data to Databricks.
D. Create a table by manually copying and pasting the data values into cloud storage and then importing the data to Databricks.

Answer: A

Explanation:
Databricks provides a user-friendly interface that allows data analysts to quickly upload small datasets, such as a 50-row CSV file, and create tables within Databricks SQL. The steps are as follows:
Access the Data Upload Interface:
In the Databricks workspace, navigate to the sidebar and click on New > Add or upload data.
Select Create or modify a table.
Upload the CSV File:
Click on the browse button or drag and drop the CSV file directly onto the designated area.
The interface supports uploading up to 10 files simultaneously, with a total size limit of 2 GB.
Configure Table Settings:
After uploading, a preview of the data is displayed.
Specify the table name, select the appropriate schema, and configure any additional settings as needed.
Create the Table:
Once all configurations are set, click on the Create Table button to finalize the process.
This method is efficient for quickly importing small datasets without the need for additional tools or complex configurations. Options B, C, and D involve more complex or manual processes that are unnecessary for this task.

NEW QUESTION # 66
A data engineering team has created a Structured Streaming pipeline that processes data in micro-batches and populates gold-level tables. The microbatches are triggered every 10 minutes.
A data analyst has created a dashboard based on this gold level dat
a. The project stakeholders want to see the results in the dashboard updated within 10 minutes or less of new data becoming available within the gold-level tables.
What is the ability to ensure the streamed data is included in the dashboard at the standard requested by the project stakeholders?

A. A refresh schedule with an interval of 10 minutes or less
B. A refresh schedule with an always-on SQL Warehouse (formerly known as SQL Endpoint
C. A refresh schedule with a Structured Streaming cluster
D. A refresh schedule with stakeholders included as subscribers

Answer: A

Explanation:
In this scenario, the data engineering team has configured a Structured Streaming pipeline that updates the gold-level tables every 10 minutes. To ensure that the dashboard reflects the most recent data, it is essential to set the dashboard's refresh schedule to an interval of 10 minutes or less. This synchronization ensures that stakeholders view the latest information shortly after it becomes available in the gold-level tables. Options B, C, and D do not directly address the requirement of aligning the dashboard refresh frequency with the data update interval.

NEW QUESTION # 67
Which of the following statements about a refresh schedule is incorrect?

A. Refresh schedules can be configured in the Query Editor.
B. A refresh schedule is not the same as an alert.
C. A query can be refreshed anywhere from 1 minute lo 2 weeks
D. You must have workspace administrator privileges to configure a refresh schedule
E. A query being refreshed on a schedule does not use a SQL Warehouse (formerly known as SQL Endpoint).

Answer: D

Explanation:
This statement is incorrect. In Databricks SQL, any user with sufficient permissions on the query or dashboard can configure a refresh schedule-workspace administrator privileges are not required.
Here is the breakdown of the correct information:
A . True - Queries can be scheduled to refresh at intervals ranging from 1 minute to 2 weeks.
B . True - You can configure refresh schedules in the Query Editor.
C . False statement - A query being refreshed does use a SQL Warehouse. However, the option in question says it does not use a warehouse, which would be incorrect in a different context. Since this is a trickier one, we know that scheduled queries do require a SQL Warehouse to run.
D . True - Refresh schedules are different from alerts; alerts are triggered based on specific conditions being met in query results.
E . False (and thus the correct answer to this question) - You do not need to be a workspace admin to set a refresh schedule. You only need the correct permissions on the object.

NEW QUESTION # 68
......

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